class_docstr: A class for checking if a neural network satisfies constraints. 
docstr: Returns true if bound is None or if value is less than or equal to bound. 
docstr_tok: ["Returns","true","if","bound","is","None","or","if","value","is","less","than","or","equal","to","bound","."]
code: def _check_leq_constraint(cls, value, bound):
      """Returns true if bound is None or if value is less than or equal to bound."""
      return bound is None or (value <= bound)
  
imports: import numpy
  from copy import copy
  from ..exd.domains import Domain
label_desc: Use image node_id 4 for calling the NNConstraintChecker obj's underlying member method code with example usage: obj._check_leq_constraint(cls, value, bound) and returns: unknown